Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	338592
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	319806
Duplicate rows (%)	94.5%
Total size in memory	51.7 MiB
Average record size in memory	160.0 B

Variable types

Numeric	17
Categorical	3

Warnings

Dataset has 319806 (94.5%) duplicate rows	Duplicates
`Ba1Chakukaisu4` is highly skewed (γ1 = 20.61354341)	Skewed
`Ba1Chakukaisu3` has 336163 (99.3%) zeros	Zeros
`Ba1Chakukaisu4` has 336004 (99.2%) zeros	Zeros
`Ba1Chakukaisu6` has 320403 (94.6%) zeros	Zeros
`Ba2Chakukaisu1` has 247146 (73.0%) zeros	Zeros
`Ba2Chakukaisu2` has 251201 (74.2%) zeros	Zeros
`Ba2Chakukaisu3` has 246104 (72.7%) zeros	Zeros
`Ba2Chakukaisu4` has 243609 (71.9%) zeros	Zeros
`Ba2Chakukaisu5` has 242093 (71.5%) zeros	Zeros
`Ba2Chakukaisu6` has 83248 (24.6%) zeros	Zeros
`Ba3Chakukaisu1` has 284762 (84.1%) zeros	Zeros
`Ba3Chakukaisu2` has 288376 (85.2%) zeros	Zeros
`Ba3Chakukaisu3` has 286373 (84.6%) zeros	Zeros
`Ba3Chakukaisu4` has 287120 (84.8%) zeros	Zeros
`Ba3Chakukaisu5` has 286220 (84.5%) zeros	Zeros
`Ba3Chakukaisu6` has 148213 (43.8%) zeros	Zeros
`Ba5Chakukaisu1` has 240470 (71.0%) zeros	Zeros

Reproduction

Analysis started	2021-04-07 13:16:04.234919
Analysis finished	2021-04-07 13:17:54.730485
Duration	1 minute and 50.5 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

ChuoChakukaisu6
Real number (ℝ_≥0)

Distinct	60
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.69307603
Minimum	0
Maximum	88
Zeros	2893
Zeros (%)	0.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	5
median	9
Q3	15
95-th percentile	26
Maximum	88
Range	88
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	7.879045865
Coefficient of variation (CV)	0.7368362332
Kurtosis	2.943457118
Mean	10.69307603
Median Absolute Deviation (MAD)	5
Skewness	1.39865532
Sum	3620590
Variance	62.07936374
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	27001	8.0%
4	25572	7.6%
3	23304	6.9%
6	23207	6.9%
7	19939	5.9%
8	18845	5.6%
9	16868	5.0%
2	16670	4.9%
10	15503	4.6%
11	14259	4.2%
Other values (50)	137424	40.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2893	0.9%
1	8742	2.6%
2	16670	4.9%
3	23304	6.9%
4	25572	7.6%

Value	Count	Frequency (%)
88	19	< 0.1%
69	2	< 0.1%
58	11	< 0.1%
57	78	< 0.1%
56	152	< 0.1%

Ba1Chakukaisu1
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	335908
1	1989
2	477
3	212
4	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	335908	99.2%
1	1989	0.6%
2	477	0.1%
3	212	0.1%
4	6	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	335908	99.2%
1	1989	0.6%
2	477	0.1%
3	212	0.1%
4	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	335908	99.2%
1	1989	0.6%
2	477	0.1%
3	212	0.1%
4	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	335908	99.2%
1	1989	0.6%
2	477	0.1%
3	212	0.1%
4	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	335908	99.2%
1	1989	0.6%
2	477	0.1%
3	212	0.1%
4	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	335908	99.2%
1	1989	0.6%
2	477	0.1%
3	212	0.1%
4	6	< 0.1%

Ba1Chakukaisu2
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	335995
1	2028
2	350
3	213
4	6

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	335995	99.2%
1	2028	0.6%
2	350	0.1%
3	213	0.1%
4	6	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	335995	99.2%
1	2028	0.6%
2	350	0.1%
3	213	0.1%
4	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	335995	99.2%
1	2028	0.6%
2	350	0.1%
3	213	0.1%
4	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	335995	99.2%
1	2028	0.6%
2	350	0.1%
3	213	0.1%
4	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	335995	99.2%
1	2028	0.6%
2	350	0.1%
3	213	0.1%
4	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	335995	99.2%
1	2028	0.6%
2	350	0.1%
3	213	0.1%
4	6	< 0.1%

Ba1Chakukaisu3
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.009388881013
Minimum	0
Maximum	5
Zeros	336163
Zeros (%)	99.3%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1251731673
Coefficient of variation (CV)	13.3320645
Kurtosis	428.4542935
Mean	0.009388881013
Median Absolute Deviation (MAD)	0
Skewness	18.16900931
Sum	3179
Variance	0.0156683218
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	336163	99.3%
1	1917	0.6%
2	354	0.1%
3	88	< 0.1%
4	60	< 0.1%
5	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	336163	99.3%
1	1917	0.6%
2	354	0.1%
3	88	< 0.1%
4	60	< 0.1%

Value	Count	Frequency (%)
5	10	< 0.1%
4	60	< 0.1%
3	88	< 0.1%
2	354	0.1%
1	1917	0.6%

Ba1Chakukaisu4
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.009176235706
Minimum	0
Maximum	6
Zeros	336004
Zeros (%)	99.2%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1190707404
Coefficient of variation (CV)	12.97598974
Kurtosis	671.9708479
Mean	0.009176235706
Median Absolute Deviation (MAD)	0
Skewness	20.61354341
Sum	3107
Variance	0.01417784122
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	336004	99.2%
1	2246	0.7%
2	255	0.1%
3	47	< 0.1%
6	25	< 0.1%
4	15	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	336004	99.2%
1	2246	0.7%
2	255	0.1%
3	47	< 0.1%
4	15	< 0.1%

Value	Count	Frequency (%)
6	25	< 0.1%
4	15	< 0.1%
3	47	< 0.1%
2	255	0.1%
1	2246	0.7%

Ba1Chakukaisu5
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	336030
1	2191
2	265
4	64
3	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	336030	99.2%
1	2191	0.6%
2	265	0.1%
4	64	< 0.1%
3	42	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	336030	99.2%
1	2191	0.6%
2	265	0.1%
4	64	< 0.1%
3	42	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	336030	99.2%
1	2191	0.6%
2	265	0.1%
4	64	< 0.1%
3	42	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	336030	99.2%
1	2191	0.6%
2	265	0.1%
4	64	< 0.1%
3	42	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	336030	99.2%
1	2191	0.6%
2	265	0.1%
4	64	< 0.1%
3	42	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	336030	99.2%
1	2191	0.6%
2	265	0.1%
4	64	< 0.1%
3	42	< 0.1%

Ba1Chakukaisu6
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.08332447311
Minimum	0
Maximum	10
Zeros	320403
Zeros (%)	94.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4518584196
Coefficient of variation (CV)	5.42287761
Kurtosis	135.535806
Mean	0.08332447311
Median Absolute Deviation (MAD)	0
Skewness	9.652991954
Sum	28213
Variance	0.2041760314
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	320403	94.6%
1	13021	3.8%
2	3062	0.9%
3	1085	0.3%
4	350	0.1%
5	222	0.1%
6	173	0.1%
7	137	< 0.1%
10	82	< 0.1%
9	30	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	320403	94.6%
1	13021	3.8%
2	3062	0.9%
3	1085	0.3%
4	350	0.1%

Value	Count	Frequency (%)
10	82	< 0.1%
9	30	< 0.1%
8	27	< 0.1%
7	137	< 0.1%
6	173	0.1%

Ba2Chakukaisu1
Real number (ℝ_≥0)

ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5687257821
Minimum	0
Maximum	12
Zeros	247146
Zeros (%)	73.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.166710687
Coefficient of variation (CV)	2.051446803
Kurtosis	7.05209127
Mean	0.5687257821
Median Absolute Deviation (MAD)	0
Skewness	2.522794802
Sum	192566
Variance	1.361213827
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	247146	73.0%
1	41328	12.2%
2	21811	6.4%
3	14498	4.3%
4	8292	2.4%
5	3463	1.0%
6	1141	0.3%
7	603	0.2%
8	239	0.1%
9	64	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	247146	73.0%
1	41328	12.2%
2	21811	6.4%
3	14498	4.3%
4	8292	2.4%

Value	Count	Frequency (%)
12	7	< 0.1%
9	64	< 0.1%
8	239	0.1%
7	603	0.2%
6	1141	0.3%

Ba2Chakukaisu2
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5526149466
Minimum	0
Maximum	11
Zeros	251201
Zeros (%)	74.2%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	11
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.216826786
Coefficient of variation (CV)	2.201943312
Kurtosis	11.59694356
Mean	0.5526149466
Median Absolute Deviation (MAD)	0
Skewness	3.046659076
Sum	187111
Variance	1.480667427
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	251201	74.2%
1	40823	12.1%
2	21593	6.4%
3	11125	3.3%
4	6504	1.9%
5	3730	1.1%
6	1946	0.6%
7	860	0.3%
8	331	0.1%
10	192	0.1%
Other values (2)	287	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	251201	74.2%
1	40823	12.1%
2	21593	6.4%
3	11125	3.3%
4	6504	1.9%

Value	Count	Frequency (%)
11	107	< 0.1%
10	192	0.1%
9	180	0.1%
8	331	0.1%
7	860	0.3%

Ba2Chakukaisu3
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5350244542
Minimum	0
Maximum	11
Zeros	246104
Zeros (%)	72.7%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	11
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.122112988
Coefficient of variation (CV)	2.097311589
Kurtosis	10.71163554
Mean	0.5350244542
Median Absolute Deviation (MAD)	0
Skewness	2.902753687
Sum	181155
Variance	1.259137558
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	246104	72.7%
1	47427	14.0%
2	22414	6.6%
3	11490	3.4%
4	5817	1.7%
5	2921	0.9%
6	1296	0.4%
7	602	0.2%
8	265	0.1%
9	162	< 0.1%
Other values (2)	94	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	246104	72.7%
1	47427	14.0%
2	22414	6.6%
3	11490	3.4%
4	5817	1.7%

Value	Count	Frequency (%)
11	49	< 0.1%
10	45	< 0.1%
9	162	< 0.1%
8	265	0.1%
7	602	0.2%

Ba2Chakukaisu4
Real number (ℝ_≥0)

ZEROS

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5219172337
Minimum	0
Maximum	11
Zeros	243609
Zeros (%)	71.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	11
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.069501
Coefficient of variation (CV)	2.049177399
Kurtosis	10.48584399
Mean	0.5219172337
Median Absolute Deviation (MAD)	0
Skewness	2.849407061
Sum	176717
Variance	1.143832388
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	243609	71.9%
1	51409	15.2%
2	23123	6.8%
3	10807	3.2%
4	4877	1.4%
5	2773	0.8%
6	1362	0.4%
7	265	0.1%
8	177	0.1%
9	116	< 0.1%
Other values (2)	74	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	243609	71.9%
1	51409	15.2%
2	23123	6.8%
3	10807	3.2%
4	4877	1.4%

Value	Count	Frequency (%)
11	41	< 0.1%
10	33	< 0.1%
9	116	< 0.1%
8	177	0.1%
7	265	0.1%

Ba2Chakukaisu5
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5037537804
Minimum	0
Maximum	9
Zeros	242093
Zeros (%)	71.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.015864293
Coefficient of variation (CV)	2.016588923
Kurtosis	10.21262323
Mean	0.5037537804
Median Absolute Deviation (MAD)	0
Skewness	2.815499258
Sum	170567
Variance	1.031980262
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	242093	71.5%
1	55405	16.4%
2	22790	6.7%
3	10014	3.0%
4	4515	1.3%
5	2344	0.7%
6	646	0.2%
7	524	0.2%
8	133	< 0.1%
9	128	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	242093	71.5%
1	55405	16.4%
2	22790	6.7%
3	10014	3.0%
4	4515	1.3%

Value	Count	Frequency (%)
9	128	< 0.1%
8	133	< 0.1%
7	524	0.2%
6	646	0.2%
5	2344	0.7%

Ba2Chakukaisu6
Real number (ℝ_≥0)

ZEROS

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.558749173
Minimum	0
Maximum	46
Zeros	83248
Zeros (%)	24.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	5
95-th percentile	13
Maximum	46
Range	46
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.63427313
Coefficient of variation (CV)	1.302219658
Kurtosis	8.044551369
Mean	3.558749173
Median Absolute Deviation (MAD)	2
Skewness	2.398651893
Sum	1204964
Variance	21.47648745
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	83248	24.6%
1	66405	19.6%
2	45473	13.4%
3	32165	9.5%
4	21907	6.5%
5	16458	4.9%
6	12543	3.7%
7	10717	3.2%
8	8398	2.5%
9	6904	2.0%
Other values (29)	34374	10.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	83248	24.6%
1	66405	19.6%
2	45473	13.4%
3	32165	9.5%
4	21907	6.5%

Value	Count	Frequency (%)
46	46	< 0.1%
41	11	< 0.1%
38	133	< 0.1%
37	94	< 0.1%
36	1	< 0.1%

Ba3Chakukaisu1
Real number (ℝ_≥0)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2451209716
Minimum	0
Maximum	8
Zeros	284762
Zeros (%)	84.1%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6627322956
Coefficient of variation (CV)	2.703694798
Kurtosis	14.85048482
Mean	0.2451209716
Median Absolute Deviation (MAD)	0
Skewness	3.47756838
Sum	82996
Variance	0.4392140956
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	284762	84.1%
1	34539	10.2%
2	12299	3.6%
3	4922	1.5%
4	1492	0.4%
5	400	0.1%
6	123	< 0.1%
7	53	< 0.1%
8	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	284762	84.1%
1	34539	10.2%
2	12299	3.6%
3	4922	1.5%
4	1492	0.4%

Value	Count	Frequency (%)
8	2	< 0.1%
7	53	< 0.1%
6	123	< 0.1%
5	400	0.1%
4	1492	0.4%

Ba3Chakukaisu2
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2377374539
Minimum	0
Maximum	8
Zeros	288376
Zeros (%)	85.2%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6857793531
Coefficient of variation (CV)	2.884607965
Kurtosis	20.97063515
Mean	0.2377374539
Median Absolute Deviation (MAD)	0
Skewness	3.989717459
Sum	80496
Variance	0.4702933212
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	288376	85.2%
1	31483	9.3%
2	11593	3.4%
3	4453	1.3%
4	1589	0.5%
5	718	0.2%
6	259	0.1%
8	121	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	288376	85.2%
1	31483	9.3%
2	11593	3.4%
3	4453	1.3%
4	1589	0.5%

Value	Count	Frequency (%)
8	121	< 0.1%
6	259	0.1%
5	718	0.2%
4	1589	0.5%
3	4453	1.3%

Ba3Chakukaisu3
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.231222238
Minimum	0
Maximum	7
Zeros	286373
Zeros (%)	84.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6305127553
Coefficient of variation (CV)	2.726869011
Kurtosis	14.0780224
Mean	0.231222238
Median Absolute Deviation (MAD)	0
Skewness	3.438231528
Sum	78290
Variance	0.3975463346
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	286373	84.6%
1	34430	10.2%
2	11818	3.5%
3	4112	1.2%
4	1496	0.4%
5	278	0.1%
6	81	< 0.1%
7	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	286373	84.6%
1	34430	10.2%
2	11818	3.5%
3	4112	1.2%
4	1496	0.4%

Value	Count	Frequency (%)
7	4	< 0.1%
6	81	< 0.1%
5	278	0.1%
4	1496	0.4%
3	4112	1.2%

Ba3Chakukaisu4
Real number (ℝ_≥0)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2223088555
Minimum	0
Maximum	8
Zeros	287120
Zeros (%)	84.8%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	8
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6211374209
Coefficient of variation (CV)	2.794029142
Kurtosis	19.90715047
Mean	0.2223088555
Median Absolute Deviation (MAD)	0
Skewness	3.844529266
Sum	75272
Variance	0.3858116956
Monotocity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
0	287120	84.8%
1	35750	10.6%
2	10360	3.1%
3	3634	1.1%
4	1048	0.3%
5	481	0.1%
6	138	< 0.1%
8	48	< 0.1%
7	13	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	287120	84.8%
1	35750	10.6%
2	10360	3.1%
3	3634	1.1%
4	1048	0.3%

Value	Count	Frequency (%)
8	48	< 0.1%
7	13	< 0.1%
6	138	< 0.1%
5	481	0.1%
4	1048	0.3%

Ba3Chakukaisu5
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2153270012
Minimum	0
Maximum	7
Zeros	286220
Zeros (%)	84.5%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5880329796
Coefficient of variation (CV)	2.730883615
Kurtosis	18.77318828
Mean	0.2153270012
Median Absolute Deviation (MAD)	0
Skewness	3.723778858
Sum	72908
Variance	0.3457827851
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	286220	84.5%
1	38188	11.3%
2	9808	2.9%
3	3210	0.9%
4	585	0.2%
5	384	0.1%
6	165	< 0.1%
7	32	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	286220	84.5%
1	38188	11.3%
2	9808	2.9%
3	3210	0.9%
4	585	0.2%

Value	Count	Frequency (%)
7	32	< 0.1%
6	165	< 0.1%
5	384	0.1%
4	585	0.2%
3	3210	0.9%

Ba3Chakukaisu6
Real number (ℝ_≥0)

ZEROS

Distinct	27
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.659918132
Minimum	0
Maximum	34
Zeros	148213
Zeros (%)	43.8%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	7
Maximum	34
Range	34
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.506906864
Coefficient of variation (CV)	1.510259342
Kurtosis	12.20327697
Mean	1.659918132
Median Absolute Deviation (MAD)	1
Skewness	2.791941412
Sum	562035
Variance	6.284582026
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
0	148213	43.8%
1	72819	21.5%
2	40146	11.9%
3	24994	7.4%
4	16563	4.9%
5	10815	3.2%
6	7516	2.2%
7	5028	1.5%
8	3356	1.0%
9	2633	0.8%
Other values (17)	6509	1.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	148213	43.8%
1	72819	21.5%
2	40146	11.9%
3	24994	7.4%
4	16563	4.9%

Value	Count	Frequency (%)
34	19	< 0.1%
28	52	< 0.1%
24	15	< 0.1%
23	31	< 0.1%
22	45	< 0.1%

Ba5Chakukaisu1
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5399832246
Minimum	0
Maximum	9
Zeros	240470
Zeros (%)	71.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	9
Range	9
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.051818474
Coefficient of variation (CV)	1.947872501
Kurtosis	6.93250647
Mean	0.5399832246
Median Absolute Deviation (MAD)	0
Skewness	2.448855409
Sum	182834
Variance	1.106322103
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	240470	71.0%
1	51261	15.1%
2	23694	7.0%
3	13714	4.1%
4	6090	1.8%
5	2170	0.6%
6	709	0.2%
7	323	0.1%
8	131	< 0.1%
9	30	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	240470	71.0%
1	51261	15.1%
2	23694	7.0%
3	13714	4.1%
4	6090	1.8%

Value	Count	Frequency (%)
9	30	< 0.1%
8	131	< 0.1%
7	323	0.1%
6	709	0.2%
5	2170	0.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	ChuoChakukaisu6	Ba2Chakukaisu1	Ba2Chakukaisu2	Ba2Chakukaisu3	Ba2Chakukaisu4	Ba2Chakukaisu5	Ba2Chakukaisu6	Ba3Chakukaisu1	Ba3Chakukaisu2	Ba3Chakukaisu4	Ba3Chakukaisu6
0	8	2	3	0	0	3	6	1	0	1	1
1	8	2	3	0	0	3	6	1	0	1	1
2	8	2	3	0	0	3	6	1	0	1	1
3	8	2	3	0	0	3	6	1	0	1	1
4	9	3	1	4	2	2	6	0	2	1	2
5	9	3	1	4	2	2	6	0	2	1	2
6	9	3	1	4	2	2	6	0	2	1	2
7	9	3	1	4	2	2	6	0	2	1	2
8	9	3	1	4	2	2	6	0	2	1	2
9	9	3	1	4	2	2	6	0	2	1	2

Last rows

	ChuoChakukaisu6	Ba2Chakukaisu1	Ba2Chakukaisu2	Ba2Chakukaisu3	Ba2Chakukaisu4	Ba2Chakukaisu6	Ba3Chakukaisu2	Ba3Chakukaisu3	Ba3Chakukaisu6
338582	0	0	0	1	0	0	0	0	0
338583	1	0	0	0	0	1	0	0	0
338584	3	0	1	0	0	2	0	0	0
338585	1	0	0	0	0	1	0	0	0
338586	3	0	0	0	0	0	0	0	0
338587	2	0	0	0	0	2	0	0	0
338588	12	4	1	2	3	9	1	1	2
338589	2	0	0	0	0	2	0	0	0
338590	5	0	0	0	0	3	0	0	1
338591	1	0	0	0	0	1	0	0	0

Most frequent

	ChuoChakukaisu6	Ba2Chakukaisu6	count
1642	3	0	5048
871	2	0	4648
2557	4	0	4285
3606	5	0	3389
1688	3	1	2661
322	1	0	2564
2600	4	1	2505
3657	5	1	2182
917	2	1	2132
4764	6	0	2071

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent

	ChuoChakukaisu6	Ba2Chakukaisu1	Ba2Chakukaisu2	Ba2Chakukaisu3	Ba2Chakukaisu4	Ba2Chakukaisu5	Ba2Chakukaisu6	Ba3Chakukaisu1	Ba3Chakukaisu2	Ba3Chakukaisu4	Ba3Chakukaisu6
0	8	2	3	0	0	3	6	1	0	1	1
1	8	2	3	0	0	3	6	1	0	1	1
2	8	2	3	0	0	3	6	1	0	1	1
3	8	2	3	0	0	3	6	1	0	1	1
4	9	3	1	4	2	2	6	0	2	1	2
5	9	3	1	4	2	2	6	0	2	1	2
6	9	3	1	4	2	2	6	0	2	1	2
7	9	3	1	4	2	2	6	0	2	1	2
8	9	3	1	4	2	2	6	0	2	1	2
9	9	3	1	4	2	2	6	0	2	1	2

	ChuoChakukaisu6	Ba2Chakukaisu1	Ba2Chakukaisu2	Ba2Chakukaisu3	Ba2Chakukaisu4	Ba2Chakukaisu5	Ba2Chakukaisu6	Ba3Chakukaisu1	Ba3Chakukaisu2	Ba3Chakukaisu4	Ba3Chakukaisu6
0	8	2	3	0	0	3	6	1	0	1	1
1	8	2	3	0	0	3	6	1	0	1	1
2	8	2	3	0	0	3	6	1	0	1	1
3	8	2	3	0	0	3	6	1	0	1	1
4	9	3	1	4	2	2	6	0	2	1	2
5	9	3	1	4	2	2	6	0	2	1	2
6	9	3	1	4	2	2	6	0	2	1	2
7	9	3	1	4	2	2	6	0	2	1	2
8	9	3	1	4	2	2	6	0	2	1	2
9	9	3	1	4	2	2	6	0	2	1	2

	ChuoChakukaisu6	Ba2Chakukaisu1	Ba2Chakukaisu2	Ba2Chakukaisu3	Ba2Chakukaisu4	Ba2Chakukaisu5	Ba2Chakukaisu6	Ba3Chakukaisu1	Ba3Chakukaisu2	Ba3Chakukaisu4	Ba3Chakukaisu6
0	8	2	3	0	0	3	6	1	0	1	1
1	8	2	3	0	0	3	6	1	0	1	1
2	8	2	3	0	0	3	6	1	0	1	1
3	8	2	3	0	0	3	6	1	0	1	1
4	9	3	1	4	2	2	6	0	2	1	2
5	9	3	1	4	2	2	6	0	2	1	2
6	9	3	1	4	2	2	6	0	2	1	2
7	9	3	1	4	2	2	6	0	2	1	2
8	9	3	1	4	2	2	6	0	2	1	2
9	9	3	1	4	2	2	6	0	2	1	2